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i tried to visualize how Scottynooo’s trading actually works and why this low-latency, event-driven market making + micro-arbitrage bot managed to print $300k+ on Polymarket this isn’t about predicting outcomes. it’s about reacting faster than the market the bot trades both sides, stays mostly delta-neutral, waits for mispricing, spread...

33,074 görüntüleme • 7 ay önce •via X (Twitter)

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Bot powered by AI turned a deposit into a x4600. $50 → $230K on Polymarket in just two months. Right now, everyone on Polymarket is talking about this bot. And honestly, for a reason. The results it’s showing are way beyond what most people would consider realistic. The bot is fully focused on esports. Mainly League of Legends and Dota 2. And that actually makes sense. Esports are games. Games follow patterns, scenarios, logic. Much easier for a bot and AI to read than messy real-world events. So how does this even work? > The bot constantly monitors live esports broadcasts. > It does it insanely fast. Faster than the Polymarket market itself can react. The moment a kill happens, a team fight breaks out, or any key in-game event occurs, the bot instantly spots a mispricing. Sometimes just a few cents. But it gets there seconds before the market adjusts. That edge is enough. It profits purely from the spread. Yeah, it sounds almost too simple. I wouldn’t have believed it either. Not in real life. Not until I saw the bot’s actual Polymarket account with my own eyes. According to the profile: > I spent a long time thinking about how to make money the same way. For now, I decided to start by copy trading this bot. The key here is speed. You need a service that reacts just as fast. At the moment, Polycule is doing that job for me. I can recommend it. In 14 days, I made $2,800. > Just copy this bot. Exactly like I did. Copy trading is alive. So what do you think. Are Polymarket bots the future, or is this just another short-term hype wave?

igorizuchaetcrypty

20,429 görüntüleme • 7 ay önce

A lesson for every Polymarket bot developer: I built a strategy that looked perfect on paper. Backtested it. Looked like a winner. Almost went live. Then i actually measured real costs. Strategy was dead before the first trade. And this is what bot building on Polymarket actually looks like. Here is what happened (and what you MUST know): Backtested mean reversion on crypto dips. SOL came back at +44% return and 70.5% win rate. Beautiful clean curve. Looked ready to ship. Then i measured real round-trip costs on SOL flash dips. Backtest assumed 0.45% in fees and slippage. Reality was 1.44%. Strategy stops working at 0.70%. Starting again. But the lesson was worth more than any profit the strategy could have made. Here is what i actually learned: Taking a dip with a market order means you eat the spread the dip just created. The volatility making your signal is the same volatility destroying your fill. You see the opportunity. You enter. You already lost. But resting a limit order below market and letting the dip come to you? You collect the maker rebate instead. Same thesis. Completely opposite execution. One bleeds money, one prints it. That one realization changed how i think about bot strategy entirely. 180 strategies tested to get there. 179 dead. That is not failure. That is how you find the 5 that actually work. Building a bot on Polymarket is not about finding a magic strategy. It is about eliminating every wrong answer until only the right one is left.

Oracle Boar

14,379 görüntüleme • 4 ay önce

Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

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